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Period:
Area:
10 countries/ areas
Highlight:
1 Italy205.02013/14
2 Australia168.02006
3 France157.52009/10
4 Japan 148.12016
5 Germany138.72012/13
6 Canada133.92015
7 United Kingdom132.42014/15
8 Republic of Korea130.32014
9 Sweden120.12010
10 United States119.82019

Note
Data are normalized to 1440 minutes per day. In other words, for those countries for which the time use does not sum up to 1440 minutes, the missing minutes are equally distributed across all activities. The range of age and the classification of activities may differ across countries: the assignment of time allocated to the activity categories defined by the OECD can only be approximated in some countries where highly detailed data are not available. Caution is thus needed in cross-country comparisons whenever the differences in minutes are not large.

Source
OECD, Time Use Database

Original source
OECD estimates based on national time use surveys. Methodological documentation on national time-use surveys used for the estimates is in Miranda V. (2011) "Cooking, Caring and Volunteering: Unpaid Work Around the World", Miranda, V. (2011), "Cooking, Caring and Volunteering: Unpaid Work Around the World", OECD Social, Employment and Migration Working Papers, No. 116, OECD Publishing. doi: 10.1787/5kghrjm8s142-en.

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data10
Regression equation
Y = -0.004494 X +7.419
Correlation coefficient (r)-0.244
Coefficient of determination (R2)0.060

GDP per capita (current US$)
No. of data10
Regression equation
Y = -190.690610 X +77455.901
Correlation coefficient (r)-0.421
Coefficient of determination (R2)0.177

Life expectancy at birth - Both sexes (years)
No. of data10
Regression equation
Y = 0.027702 X +77.863
Correlation coefficient (r)0.366
Coefficient of determination (R2)0.134

Fertility rate, total (births per woman)
No. of data10
Regression equation
Y = -0.001254 X +1.644
Correlation coefficient (r)-0.118
Coefficient of determination (R2)0.014

Suicide - all ages (per 100,000 population)
No. of data10
Regression equation
Y = -0.105786 X +29.349
Correlation coefficient (r)-0.461
Coefficient of determination (R2)0.213